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DBMS > H2GIS vs. Hypertable vs. IBM Db2 Event Store vs. Rockset vs. Spark SQL

System Properties Comparison H2GIS vs. Hypertable vs. IBM Db2 Event Store vs. Rockset vs. Spark SQL

Editorial information provided by DB-Engines
NameH2GIS  Xexclude from comparisonHypertable  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonRockset  Xexclude from comparisonSpark SQL  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionSpatial extension of H2An open source BigTable implementation based on distributed file systems such as HadoopDistributed Event Store optimized for Internet of Things use casesA scalable, reliable search and analytics service in the cloud, built on RocksDBSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelSpatial DBMSWide column storeEvent Store
Time Series DBMS
Document storeRelational DBMS
Secondary database modelsRelational DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.h2gis.orgwww.ibm.com/­products/­db2-event-storerockset.comspark.apache.org/­sql
Technical documentationwww.h2gis.org/­docs/­homewww.ibm.com/­docs/­en/­db2-event-storedocs.rockset.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperCNRSHypertable Inc.IBMRocksetApache Software Foundation
Initial release20132009201720192014
Current release0.9.8.11, March 20162.03.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoLGPL 3.0Open Source infoGNU version 3. Commercial license availablecommercial infofree developer edition availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C and C++C++Scala
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux infoLinux, macOS, Windows for the developer additionhostedLinux
OS X
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesdynamic typingyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono infoingestion from XML files supportedno
Secondary indexesyesrestricted infoonly exact value or prefix value scansnoall fields are automatically indexedno
SQL infoSupport of SQLyesnoyes infothrough the embedded Spark runtimeRead-only SQL queries, including JOINsSQL-like DML and DDL statements
APIs and other access methodsC++ API
Thrift
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP RESTJDBC
ODBC
Supported programming languagesJavaC++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Go
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes infobased on H2noyesnono
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingAutomatic shardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes infobased on H2selectable replication factor on file system levelActive-active shard replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononono
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlyes infobased on H2nofine grained access rights according to SQL-standardAccess rights for users and organizations can be defined via Rockset consoleno

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More resources
H2GISHypertableIBM Db2 Event StoreRocksetSpark SQL
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